AgentIndex icon
AgentIndex
Agentflow logo
Agentflow
★ 27
vs
agy-mcp logo
agy-mcp
★ 25

Agentflow vs agy-mcp

Agentflow: Agentflow is a lightweight Python framework for building intelligent agents and orchestrating multi-agent workflows, offering an LLM-agnostic core engine. It provides a full-stack ecosystem including an API server, CLI, TypeScript client, visual playground, and documentation for taking multi-agent systems from prototype to production.; agy-mcp: Agy-mcp wraps Google's Antigravity CLI into 11 typed MCP tools, making it callable by any MCP client like Claude Code or OpenAI Codex. It also provides optional Skill bundles to teach supporting platforms when and how to invoke these tools, alongside robust safety policies for secure execution.

01

TL;DR

Agentflow logo
AgentflowMulti-Agent · ★ 27

Building Reasoning Agents

Read Agentflow full review →
agy-mcp logo
agy-mcpMulti-Agent · ★ 25

Getting a second opinion on a bug hypothesis (using `mode="review"`).

Read agy-mcp full review →
02

Side-by-Side Comparison

Field
Agentflow logoAgentflow
agy-mcp logoagy-mcp
Category
Multi-Agent
Multi-Agent
Stars
★ 27
★ 25
License
MIT
MIT
Install Command
pip install 10xscale-agentflow 10xscale-agentflow-cli && agentflow init my-agent && cd my-agent && agentflow api
curl -LsSf https://astral.sh/uv/install.sh | sh && uv tool install agy-mcp
Updated
1d ago
1w ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
Multi-Agent Orchestration, LLM Framework, Python
MCP, LLM Agent, CLI Wrapper
03

Features

Agentflow logoAgentflow
01LLM-Agnostic Orchestration
02Multi-Agent Workflows
03Parallel Tool Execution
04Realtime Audio Agents
05State Management & Checkpointing
agy-mcp logoagy-mcp
01Provides Skill bundles for agent platforms to learn invocation context and safety rules.
02Implements a robust safety policy for redaction, write control, and sensitive file access.
03Supports synchronous one-off calls and background long-running tasks with status and result retrieval.
04Offers cross-platform process group termination for running jobs.
04

Use Cases

Agentflow logoAgentflow
↳Building Reasoning Agents
↳Retrieval-Augmented Generation (RAG)
↳Multi-Agent Collaboration
↳Realtime Voice Applications
↳Workflow Automation
agy-mcp logoagy-mcp
↳Getting a second opinion on a bug hypothesis (using `mode="review"`).
↳Applying a reviewed diff to the codebase (`mode="execute", allow_write=True`).
↳Performing large-scale refactoring tasks over several hours (`agy_start(..., mode="long")`).
↳Environment and authentication detection without leaking secrets (`agy_doctor`).
FAQ

FAQ

What is the difference between Agentflow and agy-mcp?
Both Agentflow and agy-mcp are in the Multi-Agent category. Agentflow has 27 stars, while agy-mcp has 25 stars.
Which is better, Agentflow or agy-mcp?
The best choice depends on your use case. Choose Agentflow if Building Reasoning Agents, and agy-mcp if Getting a second opinion on a bug hypothesis (using `mode="review"`)..
Is Agentflow free or open source?
Yes, Agentflow is open source on GitHub (MIT).
Is agy-mcp free or open source?
Yes, agy-mcp is open source on GitHub (MIT).
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